Update app.py

app.py

@@ -17,7 +17,7 @@ def process_csv(file):
     if "Feedback" not in df.columns or "Employee" not in df.columns:
         return None, "❌ Error: CSV must contain 'Employee' and 'Feedback' columns."
     df["Sentiment"] = df["Feedback"].apply(lambda x: pipe(x)[0]["label"])
-    return {"df": df}, "✅ CSV processed!"
+    return {"df": df}, "✅ Your CSV file is processed!"
 
 def predict_attrition_risk(employee_name: str, sentiment: str, explanation: str):
     risk_mapping = {"positive": "Low Risk", "neutral": "Medium Risk", "negative": "High Risk"}